专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US07072523B2 System and method for fingerprint image enhancement using partitioned least-squared filters 有权
标题翻译：使用分区最小二乘滤波器进行指纹图像增强的系统和方法
公开(公告)号：US07072523B2
公开(公告)日：2006-07-04
申请号：US09943896
申请日：2001-08-31
申请人： Rudolf M. Bolle , Sugata Ghosal , Sarathchandra Pankanti , Nalini Ratha , Raghavendra U. Udupa
发明人： Rudolf M. Bolle , Sugata Ghosal , Sarathchandra Pankanti , Nalini Ratha , Raghavendra U. Udupa
IPC分类号： G06K9/40
CPC分类号： G06K9/00067 , G06T5/20 , G06T2207/20081
摘要： In an automatic fingerprint authentication or identification system, the fingerprint image acquisition is severely effected by the limitations of the acquisition process. The two modes of input, viz. scanning inked fingerprints from paper records or directly from a finger using live-scan fingerprint scanners suffer from the following noise sources in the input in addition to standard noise in the camera. Non-uniform ink application, uneven pressure while rolling on the paper or pressing on the scanner surface and external dirt like oil and climatic variations in the moisture content of skin are some of the main causes for the ridges and valleys not to be imaged clearly. This invention deals with a method of learning a set of partitioned least-sqaures filters that can be derived from a given set of images and ground truth pairs as an offline process. The learned filters are convolved with input fingerprint images to obtain the enhanced image.
摘要翻译：在自动指纹认证或识别系统中，指纹图像采集受到采集过程限制的严重影响。两种输入方式，即使用实时扫描指纹扫描仪从纸张记录或直接从手指扫描墨迹指纹，除了相机中的标准噪声外，还会在输入中遭受以下噪声源。不均匀的油墨应用，在纸上滚动或压在扫描仪表面上的压力不均匀，以及外部污垢（如油）和皮肤水分含量的气候变化的一些主要原因是不能清晰地成像脊和谷。本发明涉及一种学习一组分割的最小平方滤波器的方法，该滤波器可以从给定的一组图像和地面真值对导出为离线过程。所学习的滤波器与输入指纹图像进行卷积以获得增强的图像。

2. 发明申请

US20090299729A1 PARALLEL FRAGMENT EXTRACTION FROM NOISY PARALLEL CORPORA 有权
标题翻译：来自NOISY PARALLEL CORPORA的并行片段提取
公开(公告)号：US20090299729A1
公开(公告)日：2009-12-03
申请号：US12131144
申请日：2008-06-02
申请人： Christopher B. Quirk , Raghavendra U. Udupa
发明人： Christopher B. Quirk , Raghavendra U. Udupa
IPC分类号： G06F17/27
CPC分类号： G06F17/2818 , G06F17/2827
摘要： Machine translation algorithms for translating between a first language and a second language are often trained using parallel fragments, comprising a first language corpus and a second language corpus comprising an element-for-element translation of the first language corpus. Such training may involve large training sets that may be extracted from large bodies of similar sources, such as databases of news articles written in the first and second languages describing similar events; however, extracted fragments may be comparatively “noisy,” with extra elements inserted in each corpus. Extraction techniques may be devised that can differentiate between “bilingual” elements represented in both corpora and “monolingual” elements represented in only one corpus, and for extracting cleaner parallel fragments of bilingual elements. Such techniques may involve conditional probability determinations on one corpus with respect to the other corpus, or joint probability determinations that concurrently evaluate both corpora for bilingual elements.
摘要翻译：通常使用并行片段来训练用于在第一语言和第二语言之间进行翻译的机器翻译算法，包括第一语言语料库和包括第一语言语料库的元素元素翻译的第二语言语料库。这种培训可能涉及可能从类似来源的大型机构中提取的大型训练集，例如描述类似事件的第一种和第二种语言的新闻文章数据库; 然而，提取的片段可能相对“嘈杂”，在每个语料库中插入额外的元素。可以设计出可以区分在仅一个语料库中表示的语料库和“单语”元素中的“双语”元素的提取技术，以及用于提取双语元素的更清洁的平行片段。这样的技术可以涉及一个语料库相对于另一个语料库的条件概率确定，或联合概率确定，其同时评价双语单元的语料库。

3. 发明授权

US08504354B2 Parallel fragment extraction from noisy parallel corpora 有权
标题翻译：嘈杂平行语料库的并行片段提取
公开(公告)号：US08504354B2
公开(公告)日：2013-08-06
申请号：US12131144
申请日：2008-06-02
申请人： Christopher B. Quirk , Raghavendra U. Udupa
发明人： Christopher B. Quirk , Raghavendra U. Udupa
IPC分类号： G06F17/28 , G06F17/20 , G06F17/27
CPC分类号： G06F17/2818 , G06F17/2827
摘要： Machine translation algorithms for translating between a first language and a second language are often trained using parallel fragments, comprising a first language corpus and a second language corpus comprising an element-for-element translation of the first language corpus. Such training may involve large training sets that may be extracted from large bodies of similar sources, such as databases of news articles written in the first and second languages describing similar events; however, extracted fragments may be comparatively “noisy,” with extra elements inserted in each corpus. Extraction techniques may be devised that can differentiate between “bilingual” elements represented in both corpora and “monolingual” elements represented in only one corpus, and for extracting cleaner parallel fragments of bilingual elements. Such techniques may involve conditional probability determinations on one corpus with respect to the other corpus, or joint probability determinations that concurrently evaluate both corpora for bilingual elements.
摘要翻译：通常使用并行片段来训练用于在第一语言和第二语言之间进行翻译的机器翻译算法，包括第一语言语料库和包括第一语言语料库的元素元素翻译的第二语言语料库。这种培训可能涉及可能从类似来源的大型机构中提取的大型训练集，例如描述类似事件的第一种和第二种语言的新闻文章数据库; 然而，提取的片段可能相对“嘈杂”，在每个语料库中插入额外的元素。可以设计出可以区分在仅一个语料库中表示的语料库和“单语”元素中的“双语”元素的提取技术，以及用于提取双语元素的更清洁的平行片段。这样的技术可以涉及一个语料库相对于另一个语料库的条件概率确定，或联合概率确定，其同时评价双语单元的语料库。

4. 发明授权

US07356170B2 Fingerprint matching method and system 有权
标题翻译：指纹匹配方法和系统
公开(公告)号：US07356170B2
公开(公告)日：2008-04-08
申请号：US10777806
申请日：2004-02-12
申请人： Vinayaka D. Pandit , Raghavendra U. Udupa
发明人： Vinayaka D. Pandit , Raghavendra U. Udupa
IPC分类号： G06K9/00
CPC分类号： G06K9/00087 , Y10S707/99936
摘要： A method of matching a query fingerprint to a plurality of file fingerprints. The method comprises the steps of determining a plurality of partial features of each of the file fingerprints. For each partial feature, derive a list of all file fingerprints which have said partial feature as one of their partial features. Determine a plurality of query partial features of the query fingerprint, and derive a ranked list of the file fingerprints based on identifying the individual query partial features in the partial features of the respective file fingerprints. Then perform one-to-one matching of the query fingerprint with selected ones of the ranked list of the file fingerprints.
摘要翻译：一种将查询指纹与多个文件指纹进行匹配的方法。该方法包括以下步骤：确定每个文件指纹的多个部分特征。对于每个部分特征，导出将所述部分特征作为其部分特征之一的所有文件指纹的列表。确定查询指纹的多个查询部分特征，并且基于识别相应文件指纹的部分特征中的各个查询部分特征来导出文件指纹的排序列表。然后对文件指纹的排序列表中的所选择的一个进行一对一匹配的查询指纹。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式